Is the Cleaning messy data lesson free?

The interactive Cleaning messy data lesson is part of Pro (₹299/month). The first 5 lessons of the track are free — no account or card needed.

How long does the Cleaning messy data lesson take?

About 14 minutes end-to-end. It's a hands-on lesson — you read a paragraph, edit the code, and run it in the same tab.

Do I need to install Python to try the Cleaning messy data lesson?

No install required. PyRun runs real CPython in your browser via Pyodide (Python compiled to WebAssembly). Works on Chrome, Firefox, Safari, and Edge — desktop or mobile.

What level is the Cleaning messy data lesson?

Advanced level. Assumes comfort with classes, functions, and standard library. Not for first-time Python learners.

Cleaning messy data

Advanced
14 min
Data
data · pandas · cleaning · missing-values
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Lesson 7 of 10

In this track

SQLite with Python's sqlite312 min
SQL joins that actually make sense15 min
SQLAlchemy Core — SQL as Python15 min
SQLAlchemy ORM — objects that persist18 min
Database migrations with Alembic15 min
Series & DataFrame: the two shapes of pandas12 min
Cleaning messy data14 min
Filtering, querying & top-N12 min
groupby & aggregation15 min
Combining tables: merge, join & concat15 min

Advanced · 12 minSeries & DataFrame: the two shapes of pandasThe two objects you'll use every day — a labeled column (Series) and a labeled table (DataFrame) — plus loc/iloc selection.Advanced · 12 minFiltering, querying & top-NSlice rows with boolean masks, read them cleanly with query(), then rank with sort_values and head() to answer top-N questions.Advanced · 15 mingroupby & aggregationSplit rows into groups, aggregate each with sum/mean/count, compute several stats at once with named agg, and sort the summary.

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